def aya_tokens(aya):
parts = simple_aya(aya['text']).replace(' ', ' ').split(' ')
raw_ayas = aya['raw'].split(' ')
normalize_token = lambda s: s.replace('آ', 'ا').replace('ء', '').replace(
'ئ', '').replace('أ', 'ا').replace('إ', 'ا').replace('ؤ', 'و')
tokens = [{
'word': word,
'stem': isri.stem(word),
'id': parts.index(word) + 1
} for word in raw_ayas if word in parts]
not_found_words = [word for word in raw_ayas if word not in parts]
not_found_parts = [part for part in parts if not part in raw_ayas]
start = -1
for word in not_found_words:
for part in not_found_parts:
if not_found_parts.index(part) > start:
if normalize_token(word).replace(
'ا', '') == normalize_token(part).replace(
'ا', '') or normalize_token(word).replace(
'و', 'ا') == normalize_token(part).replace(
'و', 'ا') or normalize_token(word).replace(
'ی',
'ا') == normalize_token(part).replace(
'ی', 'ا'):
found_ids = [token['id'] for token in tokens]
k = found_ids[found_ids.index(
parts.index(part) +
1)] if parts.index(part) + 1 in found_ids else 0
tokens.append({
'word': word,
'stem': isri.stem(word),
'id': parts.index(part, k) + 1
})
start = not_found_parts.index(part)
break
for i in range(len(tokens)):
for j in range(i + 1, len(tokens)):
if tokens[i]['id'] == tokens[j]['id']:
try:
tokens[j]['id'] = parts.index(tokens[j]['word'],
tokens[i]['id']) + 1
except ValueError as e:
print(str(e))
return tokens
def refine_section(section):
# ayas
for item in section.find(".aya").items():
text = simple_aya(item.text())
if text.startswith("(") and text.startswith("("):
text = text[1:-1]
item.text(text)
# structure
refine_translation(section)
for item in section.children().items():
if item[0].tag == "p":
if len(item.text().strip()) <= 1:
item.remove()
else:
if len(item.find(".trans")) >= 1:
for span in section.find(".trans").items():
item.append(span.outerHtml())
span.remove()
def refine_section(section):
# ayas
for item in section.find('.aya').items():
text = simple_aya(item.text())
if text.startswith('(') and text.startswith('('):
text = text[1:-1]
item.text(text)
# structure
refine_translation(section)
for item in section.children().items():
if item[0].tag == 'p':
if len(item.text().strip()) <= 1:
item.remove()
else:
if len(item.find('.trans')) >= 1:
for span in section.find('.trans').items():
item.append(span.outerHtml())
span.remove()
def aya_tokens(aya):
parts = simple_aya(aya["text"]).replace(" ", " ").split(" ")
raw_ayas = aya["raw"].split(" ")
normalize_token = (
lambda s: s.replace("آ", "ا")
.replace("ء", "")
.replace("ئ", "")
.replace("أ", "ا")
.replace("إ", "ا")
.replace("ؤ", "و")
)
tokens = [
{"word": word, "stem": isri.stem(word), "id": parts.index(word) + 1} for word in raw_ayas if word in parts
]
not_found_words = [word for word in raw_ayas if word not in parts]
not_found_parts = [part for part in parts if not part in raw_ayas]
start = -1
for word in not_found_words:
for part in not_found_parts:
if not_found_parts.index(part) > start:
if (
normalize_token(word).replace("ا", "") == normalize_token(part).replace("ا", "")
or normalize_token(word).replace("و", "ا") == normalize_token(part).replace("و", "ا")
or normalize_token(word).replace("ی", "ا") == normalize_token(part).replace("ی", "ا")
):
found_ids = [token["id"] for token in tokens]
k = found_ids[found_ids.index(parts.index(part) + 1)] if parts.index(part) + 1 in found_ids else 0
tokens.append({"word": word, "stem": isri.stem(word), "id": parts.index(part, k) + 1})
start = not_found_parts.index(part)
break
for i in range(len(tokens)):
for j in range(i + 1, len(tokens)):
if tokens[i]["id"] == tokens[j]["id"]:
try:
tokens[j]["id"] = parts.index(tokens[j]["word"], tokens[i]["id"]) + 1
except ValueError as e:
print(str(e))
return tokens
def resolve_phrase(phrase, tokens, book):
phrase = simple_aya(phrase.strip()).replace("", "").replace("ّ", "")
if len(phrase) < 3:
return None
normalize_Alif_lam = lambda s: s[2:] if (s[:2] == "ال") else s
normalize_arabic_letter = lambda s: s.replace("ة", "ه").replace("ؤ", "و").replace("إ", "ا").replace("أ", "ا")
normalize_LBKF = lambda s: s[1:] if (s[:1] in "لبکف") else s
matchings = [
lambda token: phrase == token["word"], # exact
lambda token: normalize_arabic_letter(phrase)
== normalize_arabic_letter(token["word"]), # without arabic letters
lambda token: normalize_Alif_lam(phrase) == normalize_Alif_lam(token["word"]), # without Alif-lam
lambda token: normalize_arabic_letter(normalize_Alif_lam(phrase))
== normalize_arabic_letter(normalize_Alif_lam(token["word"])), # without arabic letters and Alif-lam
lambda token: normalize_arabic_letter(normalize_LBKF(phrase))
== normalize_arabic_letter(normalize_LBKF(token["word"])),
lambda token: isri.stem(phrase) == token["stem"], # stemed
]
matchings2 = [
lambda token, i: phrase.split()[i] == token["word"], # exact
lambda token, i: normalize_arabic_letter(phrase.split()[i])
== normalize_arabic_letter(token["word"]), # without arabic letters
lambda token, i: normalize_Alif_lam(phrase.split()[i]) == normalize_Alif_lam(token["word"]), # without Alif-lam
lambda token, i: normalize_arabic_letter(normalize_Alif_lam(phrase.split()[i]))
== normalize_arabic_letter(normalize_Alif_lam(token["word"])), # without arabic letters and Alif-lam
lambda token, i: normalize_arabic_letter(normalize_LBKF(phrase.split()[i]))
== normalize_arabic_letter(normalize_LBKF(token["word"])),
lambda token, i: isri.stem(phrase.split()[i]) == token["stem"], # stemed
]
matched = []
for aya, token_list in tokens.items():
for token in token_list:
for match in matchings:
if match(token):
matched.append(("{0}_{1}_{2}-{2}".format(book, aya, token["id"]), token["word"]))
break
if len(matched) == 1:
return matched[0]
matched = []
if len(phrase.split()) == 2:
for aya, token_list in tokens.items():
for token1 in token_list:
for token2 in token_list:
if token2["id"] == token1["id"] + 1:
for match1 in matchings2:
if match1(token1, 0):
for match2 in matchings2:
if match2(token2, 1):
matched.append(
(
"{0}_{1}_{2}-{3}".format(book, aya, token1["id"], token2["id"]),
"{0} {1}".format(token1["word"], token2["word"]),
)
)
break
break
if len(matched) == 1:
return matched[0]
return None
def resolve_phrase(phrase, tokens, book):
phrase = simple_aya(phrase.strip()).replace('', '').replace('ّ', '')
if len(phrase) < 3:
return None
normalize_Alif_lam = lambda s: s[2:] if (s[:2] == 'ال') else s
normalize_arabic_letter = lambda s: s.replace('ة', 'ه').replace(
'ؤ', 'و').replace('إ', 'ا').replace('أ', 'ا')
normalize_LBKF = lambda s: s[1:] if (s[:1] in 'لبکف') else s
matchings = [
lambda token: phrase == token['word'], # exact
lambda token: normalize_arabic_letter(phrase) ==
normalize_arabic_letter(token['word']), # without arabic letters
lambda token: normalize_Alif_lam(phrase) == normalize_Alif_lam(token[
'word']), # without Alif-lam
lambda token: normalize_arabic_letter(normalize_Alif_lam(phrase)) ==
normalize_arabic_letter(normalize_Alif_lam(token['word'])
), # without arabic letters and Alif-lam
lambda token: normalize_arabic_letter(normalize_LBKF(
phrase)) == normalize_arabic_letter(normalize_LBKF(token['word'])),
lambda token: isri.stem(phrase) == token['stem'] # stemed
]
matchings2 = [
lambda token, i: phrase.split()[i] == token['word'], # exact
lambda token, i: normalize_arabic_letter(phrase.split()[i]) ==
normalize_arabic_letter(token['word']), # without arabic letters
lambda token, i: normalize_Alif_lam(phrase.split()[
i]) == normalize_Alif_lam(token['word']), # without Alif-lam
lambda token, i: normalize_arabic_letter(
normalize_Alif_lam(phrase.split()[i])) == normalize_arabic_letter(
normalize_Alif_lam(token['word'])
), # without arabic letters and Alif-lam
lambda token, i: normalize_arabic_letter(
normalize_LBKF(phrase.split()[i])) == normalize_arabic_letter(
normalize_LBKF(token['word'])),
lambda token, i: isri.stem(phrase.split()[i]) == token['stem'
] # stemed
]
matched = []
for aya, token_list in tokens.items():
for token in token_list:
for match in matchings:
if match(token):
matched.append(
('{0}_{1}_{2}-{2}'.format(book, aya,
token['id']), token['word']))
break
if len(matched) == 1:
return matched[0]
matched = []
if len(phrase.split()) == 2:
for aya, token_list in tokens.items():
for token1 in token_list:
for token2 in token_list:
if token2['id'] == token1['id'] + 1:
for match1 in matchings2:
if match1(token1, 0):
for match2 in matchings2:
if match2(token2, 1):
matched.append(
('{0}_{1}_{2}-{3}'.format(
book, aya, token1['id'],
token2['id']),
'{0} {1}'.format(
token1['word'],
token2['word'])))
break
break
if len(matched) == 1:
return matched[0]
return None
